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Datasets:
willisgal65
/
insurance-charge-mlops-logs

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age
int64
18
64
bmi
float64
8.2
52.6
children
int64
0
5
sex
stringclasses
2 values
smoker
stringclasses
2 values
region
stringclasses
4 values
prediction
float64
-4,027.55
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northeast
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32
31.5
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male
no
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6,507.30666
19
24.51
1
female
no
northwest
1,268.059266
32
33.63
1
male
yes
northeast
31,686.242006
46
28.05
1
female
no
southeast
9,112.523987
44
30.69
2
male
no
southeast
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male
no
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no
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3
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no
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no
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no
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33
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no
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no
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no
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no
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18
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no
northeast
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23
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no
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49
41.47
4
female
no
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15,683.069502
50
25.6
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no
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8,737.336217
30
28.405
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no
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38
40.565
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no
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female
no
southeast
10,567.290065
30
23.655
3
female
yes
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28,308.264321
52
26.4
3
male
no
southeast
10,930.141387
18
29.37
1
male
no
southeast
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52
18.335
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female
no
northwest
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47
26.6
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female
no
northeast
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22
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male
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42.35
3
male
yes
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38,416.042211
57
23.18
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female
no
northwest
10,159.52421
63
35.09
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yes
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34
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female
no
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no
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female
no
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